This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Abstract. This paper presents evaluation results of a method for tracking speakers in seminars from multiple cameras. First, 2D human tracking and detection is done for each view. ...
Bo Wu, Vivek Kumar Singh, Ram Nevatia, Chi-Wei Chu
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
A method for reconstruction of 3D polygonal models from multiple views is presented. The method uses sampling techniques to construct a texture-mapped semi-regular polygonal mesh ...